Demographics details for Lancaster, CA vs Baltimore, MD
Population Overview
Compare main population characteristics in Lancaster, CA vs Baltimore, MD.
| Data | Lancaster | Baltimore |
|---|---|---|
| Population | 169,185 | 569,931 |
| Median Age | 33.6 years | 36.0 years |
| Median Income | $71,367 | $58,349 |
| Married Families | 32.0% | 23.0% |
| Poverty Level | 15% | 16% |
| Unemployment Rate | 8.2 | 4.3 |
Population Comparison: Lancaster vs Baltimore
- The population in Baltimore is higher at 569,931, compared to 169,185 in Lancaster.
- The median age in Baltimore is higher at 36.0 years, compared to 33.6 years in Lancaster.
- Lancaster has a higher median income of $71,367 compared to $58,349 in Baltimore.
- A higher percentage of married families is found in Lancaster at 32.0% compared to 23.0% in Baltimore.
- The poverty level is higher in Baltimore at 16%, compared to 15% in Lancaster.
- The unemployment rate in Lancaster is higher at 8.2%, compared to 4.3% in Baltimore.
Demographics
Demographics Lancaster vs Baltimore provide insight into the diversity of the communities to compare.
| Demographic | Lancaster | Baltimore |
|---|---|---|
| Black | 21 | 63 |
| White | 10 | 23 |
| Asian | 4 | 3 |
| Hispanic | 46 | 6 |
| Two or More Races | 18 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Lancaster vs Baltimore
- In Baltimore, the percentage of Black residents is higher at 63% compared to 21% in Lancaster.
- The percentage of White residents is higher in Baltimore at 23% compared to 10% in Lancaster.
- The Asian population is larger in Lancaster at 4% compared to 3% in Baltimore.
- The Hispanic community is larger in Lancaster at 46% compared to 6% in Baltimore.
- More residents identify as two or more races in Lancaster at 18% compared to 5% in Baltimore.
- A greater percentage of American Indian residents live in Lancaster at 1% compared to 0% in Baltimore.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lancaster | Baltimore |
|---|---|---|
| Mental Health Not Good | 17.8% | 17.9% |
| Physical Health Not Good | 13.5% | 12.3% |
| Depression | 17.7% | 20.2% |
| Smoking | 14.8% | 19.8% |
| Binge Drinking | 15.1% | 15.4% |
| Obesity | 32.9% | 37.1% |
| Disability Percentage | 10.0% | 16.0% |
Health Statistics Comparison: Lancaster vs Baltimore
- In Baltimore, a higher percentage report poor mental health at 17.9% compared to 17.8% in Lancaster.
- Higher depression rates are seen in Baltimore at 20.2% versus 17.7% in Lancaster.
- Baltimore has a higher smoking rate at 19.8% compared to 14.8% in Lancaster.
- More residents engage in binge drinking in Baltimore at 15.4% compared to 15.1% in Lancaster.
- Baltimore has higher obesity rates at 37.1% compared to 32.9% in Lancaster.
- There is a higher percentage of disabled individuals in Baltimore at 16.0% compared to 10.0% in Lancaster.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lancaster | Baltimore |
|---|---|---|
| No Schooling | 2.0% (3,403) | 1.2% (6,683) |
| High School Diploma | 17.5% (29,555) | 16.8% (95,744) |
| Less than High School | 21.5% (36,421) | 11.9% (67,970) |
| Bachelor's Degree and Higher | 12.3% (20,861) | 25.1% (143,174) |
Education Levels Comparison: Lancaster vs Baltimore
- A higher percentage of residents in Lancaster have no formal schooling at 2.0% compared to 1.2% in Baltimore.
- A higher percentage of residents in Lancaster hold a high school diploma at 17.5% compared to 16.8% in Baltimore.
- More residents in Lancaster have less than a high school education at 21.5% compared to 11.9% in Baltimore.
- In Baltimore, a larger share of residents have a bachelor's degree or higher at 25.1% compared to 12.3% in Lancaster.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.